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Understanding poverty dynamics in Ethiopia: Implications for the likely impact of COVID‐19

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  • Tseday Jemaneh Mekasha
  • Finn Tarp

Abstract

We aim at identifying vulnerable groups that face a higher risk of falling into poverty due to the COVID‐19 pandemic. Applying a synthetic panel data approach, our analysis of poverty and vulnerability transitions during the pre‐COVID period shows not only a high rate of poverty persistence in Ethiopia but also a high probability of moving from vulnerable nonpoor status to poor status. Given the observed persistence of poverty and greater risk of downward mobility, even in the pre‐COVID period, it is highly likely that poverty persistence and downward mobility will be aggravated during the current pandemic. A detailed poverty profiling exercise shows that households where the household head is less educated, engaged in the service sector, self‐employed, and a domestic worker are population segments with a high rate of downward mobility. As the emerging evidence on the socioeconomic impact of COVID shows, these segments of the population are also the ones relatively more affected by the pandemic. Overall, the pandemic is likely to result in a serious setback to the progress made in poverty reduction in Ethiopia. Poverty reduction policies should thus target not only the existing poor but also the vulnerable nonpoor.

Suggested Citation

  • Tseday Jemaneh Mekasha & Finn Tarp, 2021. "Understanding poverty dynamics in Ethiopia: Implications for the likely impact of COVID‐19," Review of Development Economics, Wiley Blackwell, vol. 25(4), pages 1838-1868, November.
  • Handle: RePEc:bla:rdevec:v:25:y:2021:i:4:p:1838-1868
    DOI: 10.1111/rode.12841
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    References listed on IDEAS

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    1. World Bank, 2020. "Ethiopia Poverty Assessment," World Bank Publications - Reports 33544, The World Bank Group.
    2. Dang, Hai-Anh & Lanjouw, Peter & Luoto, Jill & McKenzie, David, 2014. "Using repeated cross-sections to explore movements into and out of poverty," Journal of Development Economics, Elsevier, vol. 107(C), pages 112-128.
    3. Bourguignon, Francois & Goh, Chor-ching & Kim, Dae Il, 2004. "Estimating individual vulnerability to poverty with pseudo-panel data," Policy Research Working Paper Series 3375, The World Bank.
    4. World Bank, 2020. "Ethiopia Poverty Assessment," World Bank Publications - Reports 34617, The World Bank Group.
    5. Hai‐Anh H. Dang & Peter F. Lanjouw, 2017. "Welfare Dynamics Measurement: Two Definitions of a Vulnerability Line and Their Empirical Application," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 63(4), pages 633-660, December.
    6. Himanshu & Peter Lanjouw, 2020. "Income mobility in the developing world: Recent approaches and evidence," WIDER Working Paper Series wp-2020-7, World Institute for Development Economic Research (UNU-WIDER).
    7. Dang,Hai-Anh H. & Lanjouw,Peter F., 2013. "Measuring poverty dynamics with synthetic panels based on cross-sections," Policy Research Working Paper Series 6504, The World Bank.
    8. David Garcés‐Urzainqui & Peter Lanjouw & Gerton Rongen, 2021. "Constructing synthetic panels for the purpose of studying poverty dynamics: A primer," Review of Development Economics, Wiley Blackwell, vol. 25(4), pages 1803-1815, November.
    9. Hulme, David & Shepherd, Andrew, 2003. "Conceptualizing Chronic Poverty," World Development, Elsevier, vol. 31(3), pages 403-423, March.
    10. François Bourguignon & A. Hector Moreno M., 2018. "On synthetic income panels," PSE Working Papers halshs-01988068, HAL.
    11. Deaton, Angus, 1985. "Panel data from time series of cross-sections," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 109-126.
    12. Laborde Debucquet, David & Martin, Will & Vos, Rob, 2020. "Poverty and food insecurity could grow dramatically as COVID-19 spreads," IFPRI book chapters, in: COVID-19 and global food security, chapter 2, pages 16-19, International Food Policy Research Institute (IFPRI).
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    1. Dang, Hai-Anh H & Raju, Dhushyanth & Tanaka, Tomomi & Abanokova, Kseniya, 2024. "Tackling the Last Hurdles of Poverty Entrenchment: An Investigation of Poverty Dynamics for Ghana during 2005/06–2016/17," IZA Discussion Papers 16738, Institute of Labor Economics (IZA).
    2. Dang, Hai-Anh H. & Raju, Dhushyanth & Tanaka, Tomomi & Abanokova, Kseniya, 2024. "Poverty dynamics for Ghana during 2005/06–2016/17: an investigation using synthetic panels," LSE Research Online Documents on Economics 124105, London School of Economics and Political Science, LSE Library.

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